Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
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Title
Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Authors
Keywords
Data-driven probabilistic machine learning, Energy distribution, Discovery and design of energy materials, Big data analytics and smart grid, Strategic energy planning and smart manufacturing, Energy demand-side response
Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 160, Issue -, Pages 112128
Publisher
Elsevier BV
Online
2022-03-06
DOI
10.1016/j.rser.2022.112128
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